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Programme for Government aims to build a competitive, knowledge-based economy. By developing a clearer understanding of how analytics can inform decision-making, this research will also offer actionable
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, computational fluid dynamics (CFD) models, are used to aid fire safety design, but they are often computationally intensive and time-consuming, hindering reliable fire safety assessments. Artificial intelligence
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preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a
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access and the necessary training to the Animotive VR SaaS product. This will enable the PhD candidate to have the skills and knowledge base to roll out a programme of participatory research engagement
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Particle Imaging Velocimetry. Knowledge of computational fluid dynamics will be desirable. The work will also involve techno-economic analysis to determine their financial viability and sustainability will
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for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading
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, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R
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that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have
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Positioned within Ulster University’s School of Computing, this research theme advances cutting edge artificial intelligence and Internet of Things (IoT) solutions for healthcare and wellbeing
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welcome applicants from diverse academic and professional backgrounds, including (but not limited to): * Film, Television, and Media Studies * Artificial Intelligence and Computer Science * Creative Arts